Materialise (Mimics), Stryker (Blueprint 3D), Zimmer Biomet (Signature Solutions), Smith+Nephew (CORI).
Formus Labs (hip/knee AI planning), Bodycad (patient-specific implants + AI), Enhatch (AI surgical planning platform).
Imagen Technologies, Aidoc, Viz.ai (radiology AI, not orthopedic-specific).
$500K+ ARR pre-demo day and an 8-figure LOI from a leading orthopedic company. FDA 510(k) clearance pursuit creates a regulatory barrier that delays competitors by 1-2 years. Each surgical plan processed trains the AI on anatomy-specific patterns, building a dataset that improves precision planning for future cases.
Using 3D CT scan segmentation for bone modeling, agentic implant optimization for patient-specific planning, and surgical outcome prediction from historical data.
Simulates human biology with AI to predict drug effects and run virtual trials.
Google CEO Sundar Pichai highlighted their C2S-Scale 27B model for generating a novel cancer hypothesis that was later validated experimentally. CellType simulates human biology to predict drug effects using foundation models presented at ICML 2024, with all deals coming inbound from top-10 pharma. Yale professor turned down Google to build it.
Mines parasite genomes to discover protein therapeutics for autoimmune diseases.
Parasites evolved to suppress human immune responses over millions of years. Ditto mines their genomes for immunomodulatory proteins, and over 98% of those proteins remain uncharacterized. Three PhDs from Harvard, Berkeley, and UCSF with 40+ years of combined expertise in host-parasite biology.
Designs regulatory DNA that outperforms DeepMind for safer, more precise gene therapies.
Gene therapies need precise regulatory DNA elements to control where and when genes express. Origin's Axis model outperforms DeepMind's AlphaGenome by 6.7% on activity prediction, with free API access for researchers and pharma partnerships forming.